Beyond data analysis, Shutterfly's Director of Web Analytics envisions AI's primary role as a creator's assistant. For complex products like photo books that can take 30 hours to build, AI can drastically reduce customer effort by intelligently sorting photos and suggesting layouts. This makes high-value products more accessible to a broader audience.
AI won't replace designers because it lacks taste and subjective opinion. Instead, as AI gets better at generating highly opinionated (though not perfect) designs, it will serve as a powerful exploration tool. This plants more flags in the option space, allowing human designers to react, curate, and push the most promising directions further, amplifying their strategic role.
With AI workflows generating thousands of creative variations in minutes, the primary job is no longer the manual act of creation. The critical skill becomes curation: building the right automated systems upfront and then strategically selecting winning assets from a massive pool of options.
Users are dissatisfied with purely AI-generated creative outputs like interior design, calling it "slop." This creates an opportunity for platforms that blend AI's efficiency with a human's taste and curation, for which consumers are willing to pay a premium.
While chatbots are an effective entry point, they are limiting for complex creative tasks. The next wave of AI products will feature specialized user interfaces that combine fine-grained, gesture-based controls for professionals with hands-off automation for simpler tasks.
Professional photographers are finding that AI’s most significant benefit isn't image generation, which threatens their craft. Instead, it’s automating mundane business tasks like culling thousands of photos, qualifying clients, and managing customer relationships, freeing them up to focus on artistry.
Instead of asking designers to create mockups from a verbal brief, PMs can use AI tools to generate multiple visual explorations themselves. This allows them to bring more concrete, refined ideas to the table, leading to a richer and more effective collaboration with the design team.
By handling repetitive production work, AI gives designers bandwidth to focus on high-impact, creative problems. This includes innovating on previously overlooked details like loading states, which have new importance in AI-driven products for building user trust.
While AI offers efficiency gains, its true marketing potential is as a collaborative partner. This "designed intelligence" approach uses AI for scale and data processing, freeing humans for creativity, connection, and building empathetic customer experiences, thus amplifying human imagination rather than just automating tasks.
Chatbots are fundamentally linear, which is ill-suited for complex tasks like planning a trip. The next generation of AI products will use AI as a co-creation tool within a more flexible canvas-like interface, allowing users to manipulate and organize AI-generated content non-linearly.
AI tools can drastically increase the volume of initial creative explorations, moving from 3 directions to 10 or more. The designer's role then shifts from pure creation to expert curation, using their taste to edit AI outputs into winning concepts.